docs: def format_data(raw_data, limit_per_url_group=LIMIT_PER_URL_GROUP, limit_url_groups=LIMIT_URL_GROUPS):
      """Fomat data from LogAnalyzer for render purpose"""
      data = copy.deepcopy(raw_data)
      for k, v in list(data['data_details'].items()):
          # Only reserve first ``limit_per_url_group`` items
          v['urls'] = sorted(list(v['urls'].items()), key=lambda k_v: k_v[1].total,
                             reverse=True)[:limit_per_url_group]
  
      data_details = sorted(iter(data['data_details'].items()),
                            key=lambda k_v1: k_v1[1]["duration_agr_data"].total, 
                            reverse=True)[:limit_url_groups]
  
      if data['requests_counter']['normal']:
          slow_rate = format(data['requests_counter']['slow'] / \
                             float(data['requests_counter']['normal']), '.2%')
      else:
          slow_rate = '-'
      data.update({
          'slow_rate': slow_rate,
          'data_details': data_details,
      })
      return data